When the single matters more than the group: Very high false positive rates in single case Voxel Based Morphometry

Voxel Based Morphometry (VBM) studies typically involve a comparison between groups of individuals; this approach however does not allow inferences to be made at the level of the individual. In recent years, an increasing number of research groups have attempted to overcome this issue by performing single case studies, which involve the comparison between a single subject and a control group. However, the interpretation of the results is problematic; for instance, any significant difference might be driven by individual variability in neuroanatomy rather than the neuropathology of the disease under investigation, or might represent a false positive due to the data being sampled from non-normally distributed populations. The aim of the present investigation was to empirically estimate the likelihood of detecting significant differences in gray matter volume in individuals free from neurological or psychiatric diagnosis. We compared a total of 200 single subjects against a group of 16 controls matched for age and gender, using two independent datasets from the Neuroimaging Informatics Tools and Resources Clearinghouse. We report that the chance of detecting a significant difference in a disease-free individual is much higher than previously expected; for instance, using a standard voxel-wise threshold of p<0.05 (corrected) and an extent threshold of 10 voxels, the likelihood of a single subject showing at least one significant difference is as high as 93.5% for increases and 71% for decreases. We also report that the chance of detecting significant differences was greatest in frontal and temporal cortices and lowest in subcortical regions. The chance of detecting significant differences was inversely related to the degree of smoothing applied to the data, and was higher for unmodulated than modulated data. These results were replicated in the two independent datasets. By providing an empirical estimation of the number of significant increases and decreases to be expected in each cortical and subcortical region in disease-free individuals, the present investigation could inform the interpretation of future single case VBM studies.

[1]  Maria Luisa Gorno-Tempini,et al.  Cognitive and Behavioral Profile in a Case of Right Anterior Temporal Lobe Neurodegeneration , 2004, Cortex.

[2]  Timothy Edward John Behrens,et al.  Training induces changes in white matter architecture , 2009, Nature Neuroscience.

[3]  Murat Yücel,et al.  Volumetric MRI study of the insular cortex in individuals with current and past major depression. , 2010, Journal of affective disorders.

[4]  Ludwig Kappos,et al.  Spatiotemporal distribution pattern of white matter lesion volumes and their association with regional grey matter volume reductions in relapsing‐remitting multiple sclerosis , 2010, Human brain mapping.

[5]  J. Soares,et al.  Contributions from brain imaging to the elucidation of pathophysiology of bipolar disorder. , 2003, The international journal of neuropsychopharmacology.

[6]  R. Adolphs,et al.  The social brain: neural basis of social knowledge. , 2009, Annual review of psychology.

[7]  S. Dehaene,et al.  Pure alexia as a disconnection syndrome: New diffusion imaging evidence for an old concept , 2008, Cortex.

[8]  Roberto Viviani,et al.  Non-normality and transformations of random fields, with an application to voxel-based morphometry , 2007, NeuroImage.

[9]  Massimo Filippi,et al.  Ventral and dorsal visual streams in posterior cortical atrophy: A DT MRI study , 2012, Neurobiology of Aging.

[10]  Karl J. Friston,et al.  Voxel-Based Morphometry of Herpes Simplex Encephalitis , 2001, NeuroImage.

[11]  Karl J. Friston,et al.  Why Voxel-Based Morphometry Should Be Used , 2001, NeuroImage.

[12]  G. Barker,et al.  White matter microstructural abnormalities in the frontal lobe of adults with antisocial personality disorder , 2012, Cortex.

[13]  A. Weindl,et al.  Voxel-Based Morphometry in Individual Patients: A Pilot Study in Early Huntington Disease , 2009, American Journal of Neuroradiology.

[14]  Maxime Guye,et al.  Hypo-retrieval and hyper-suppression mechanisms in functional amnesia , 2009, Neuropsychologia.

[15]  Karl J. Friston,et al.  Voxel-based morphometry of the human brain: Methods and applications , 2005 .

[16]  Pietro Pietrini,et al.  How Neuroscience and Behavioral Genetics Improve Psychiatric Assessment: Report on a Violent Murder Case , 2010, Front. Behav. Neurosci..

[17]  Jan Chrastina,et al.  Combining advanced neuroimaging techniques in presurgical workup of non-lesional intractable epilepsy. , 2006, Epileptic disorders : international epilepsy journal with videotape.

[18]  Christian Windischberger,et al.  Toward discovery science of human brain function , 2010, Proceedings of the National Academy of Sciences.

[19]  Hyesuk Cho,et al.  Positive Effects of Language Treatment for the Logopenic Variant of Primary Progressive Aphasia , 2011, Journal of Molecular Neuroscience.

[20]  C. Sherwood,et al.  A natural history of the human mind: tracing evolutionary changes in brain and cognition , 2008, Journal of anatomy.

[21]  Maria Luisa Gorno-Tempini,et al.  Clinical, Cognitive and Anatomical Evolution from Nonfluent Progressive Aphasia to Corticobasal Syndrome: A Case Report , 2004, Neurocase.

[22]  E. Bora,et al.  Neuroanatomical abnormalities in schizophrenia: A multimodal voxelwise meta-analysis and meta-regression analysis , 2011, Schizophrenia Research.

[23]  Makoto Shibuya,et al.  Selective loss of Purkinje cells in a patient with anti-gliadin-antibody-positive autoimmune cerebellar ataxia , 2011, Diagnostic pathology.

[24]  C. Guariglia,et al.  Developmental topographical disorientation in a healthy subject , 2010, Neuropsychologia.

[25]  T. Grabowski Semantic dementia and fluent primary progressive aphasia: two sides of the same coin? , 2008 .

[26]  Guy B. Williams,et al.  Dissociating person-specific from general semantic knowledge: roles of the left and right temporal lobes , 2004, Neuropsychologia.

[27]  R. Rogers Clinical assessment of malingering and deception , 1988 .

[28]  Michael Brady,et al.  Phase mutual information as a similarity measure for registration , 2005, Medical Image Anal..

[29]  Alan C. Evans,et al.  Volumetry of temporopolar, perirhinal, entorhinal and parahippocampal cortex from high-resolution MR images: considering the variability of the collateral sulcus. , 2002, Cerebral cortex.

[30]  Karl J. Friston,et al.  How Many Subjects Constitute a Study? , 1999, NeuroImage.

[31]  John M Desesso,et al.  Postnatal growth and morphological development of the brain: a species comparison. , 2006, Birth defects research. Part B, Developmental and reproductive toxicology.

[32]  Daniel T. Wilcox,et al.  Clinical assessment of malingering and deception: Third edition edited by Richard Rogers , 2011 .

[33]  B L Miller,et al.  Of brain and bone: The unusual case of Dr. A , 2009, Neurocase.

[34]  Tim Shallice,et al.  Recollection and familiarity in dense hippocampal amnesia: A case study , 2006, Neuropsychologia.

[35]  Christopher L. Asplund,et al.  A central role for the lateral prefrontal cortex in goal-directed and stimulus-driven attention , 2010, Nature Neuroscience.

[36]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[37]  Karl J. Friston,et al.  Distributional Assumptions in Voxel-Based Morphometry , 2002, NeuroImage.

[38]  T. Rogers,et al.  Semantic dementia and fluent primary progressive aphasia: two sides of the same coin? , 2006, Brain : a journal of neurology.

[39]  Maxime Guye,et al.  Basal functional connectivity within the anterior temporal network is associated with performance on declarative memory tasks , 2011, NeuroImage.

[40]  Dewen Hu,et al.  Gray matter density reduction in the insula in fire survivors with posttraumatic stress disorder: A voxel-based morphometric study , 2006, Psychiatry Research: Neuroimaging.

[41]  D. Hassabis,et al.  Autobiographical memory in semantic dementia: A longitudinal fMRI study , 2010, Neuropsychologia.

[42]  R. Dolan,et al.  Neuroimaging of Cognition: Past, Present, and Future , 2008, Neuron.

[43]  T. Disotell,et al.  Primate evolution – in and out of Africa , 1998, Current Biology.

[44]  Karl J. Friston,et al.  Investigating individual differences in brain abnormalities in autism. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[45]  Ramin V Parsey,et al.  What have we learned about the neurobiology of major depression? , 2007, The American journal of psychiatry.

[46]  E. Miller,et al.  An integrative theory of prefrontal cortex function. , 2001, Annual review of neuroscience.

[47]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

[48]  Alex Fornito,et al.  Voxelwise Meta-Analysis of Gray Matter Abnormalities in Bipolar Disorder , 2010, Biological Psychiatry.

[49]  Geraint Rees,et al.  Relating Introspective Accuracy to Individual Differences in Brain Structure , 2010, Science.

[50]  Giuseppe Sartori,et al.  Forensic neurosciences: from basic research to applications and pitfalls. , 2011, Current opinion in neurology.

[51]  Bogdan Draganski,et al.  Neuroplasticity: Changes in grey matter induced by training , 2004, Nature.

[52]  Koji Jimura,et al.  Temporal pole activity during understanding other persons' mental states correlates with neuroticism trait , 2010, Brain Research.

[53]  Karl J. Friston Ten ironic rules for non-statistical reviewers , 2012, NeuroImage.

[54]  Gyula Kotek,et al.  Atrophy and decreased activation of fronto-parietal attention areas contribute to higher visual dysfunction in posterior cortical atrophy , 2008, Psychiatry Research: Neuroimaging.

[55]  F. Woermann,et al.  Abnormal cerebral structure in juvenile myoclonic epilepsy demonstrated with voxel-based analysis of MRI. , 1999, Brain : a journal of neurology.

[56]  J Ormel,et al.  Schizotypy and brain structure: a voxel-based morphometry study , 2009, Psychological Medicine.

[57]  Dennis Velakoulis,et al.  Variability of the paracingulate sulcus and morphometry of the medial frontal cortex: Associations with cortical thickness, surface area, volume, and sulcal depth , 2008, Human brain mapping.

[58]  Osamu Abe,et al.  A case of adult‐onset type II citrullinemia with comorbid epilepsy even after liver transplantation , 2010, Epilepsia.

[59]  Lester Melie-García,et al.  Covert face recognition without the fusiform-temporal pathways , 2011, NeuroImage.

[60]  John W. Harwell,et al.  Similar patterns of cortical expansion during human development and evolution , 2010, Proceedings of the National Academy of Sciences.

[61]  Andrea Mechelli,et al.  Voxelwise meta-analysis of gray matter reduction in major depressive disorder , 2012, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[62]  Hans Knutsson,et al.  Does Parametric Fmri Analysis with Spm Yield Valid Results? -an Empirical Study of 1484 Rest Datasets Does Parametric Fmri Analysis with Spm Yield Valid Results? - an Empirical Study of 1484 Rest Datasets , 2022 .

[63]  Sven Joubert,et al.  The right temporal lobe variant of frontotemporal dementia , 2006, Journal of Neurology.

[64]  Yasuhiro Kawasaki,et al.  Prefrontal abnormalities in patients with simple schizophrenia: Structural and functional brain-imaging studies in five cases , 2005, Psychiatry Research: Neuroimaging.

[65]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[66]  J Ashburner,et al.  Voxel-wise analysis of diffusion tensor MRI improves the confidence of diagnosis of corticobasal degeneration non-invasively. , 2008, Parkinsonism & related disorders.

[67]  Neda Bernasconi,et al.  Individual voxel-based analysis of gray matter in focal cortical dysplasia , 2006, NeuroImage.

[68]  Richard S. J. Frackowiak,et al.  A voxel‐based morphometry study of semantic dementia: Relationship between temporal lobe atrophy and semantic memory , 2000, Annals of neurology.

[69]  Glyn W. Humphreys,et al.  No direction home: Extinction is affected by implicit motion , 2010, Cortex.

[70]  Thomas E. Nichols,et al.  Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.

[71]  Hellmuth Obrig,et al.  Focal Retrograde Amnesia: Voxel-Based Morphometry Findings in a Case without MRI Lesions , 2011, PloS one.

[72]  Michael Brady,et al.  Non-rigid Multimodal Image Registration Using Local Phase , 2004, MICCAI.

[73]  Thomas F. Nugent,et al.  Dynamic mapping of human cortical development during childhood through early adulthood. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[74]  E. Bullmore,et al.  Anatomy of bipolar disorder and schizophrenia: A meta-analysis , 2010, Schizophrenia Research.

[75]  M. Seghier,et al.  An anatomical signature for literacy , 2009, Nature.

[76]  Michael A Yassa,et al.  A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe , 2009, NeuroImage.

[77]  Carsten Spitzer,et al.  Borderline personality disorder: Hypothalamus pituitary adrenal axis and findings from neuroimaging studies , 2010, Psychoneuroendocrinology.

[78]  S. Rauch,et al.  Neuroimaging research and the neurobiology of obsessive–compulsive disorder: where do we go from here? , 2000, Biological Psychiatry.

[79]  Yi Huan,et al.  Decreased gray matter volume in the left hippocampus and bilateral calcarine cortex in coal mine flood disaster survivors with recent onset PTSD , 2011, Psychiatry Research: Neuroimaging.

[80]  P. Huttenlocher Morphometric study of human cerebral cortex development , 1990, Neuropsychologia.

[81]  Vaibhav Diwadkar,et al.  Structural brain abnormalities in borderline personality disorder: A voxel-based morphometry study , 2008, Psychiatry Research: Neuroimaging.

[82]  B. J. Casey,et al.  Structural and functional brain development and its relation to cognitive development , 2000, Biological Psychology.

[83]  Karl J. Friston,et al.  Computing average shaped tissue probability templates , 2009, NeuroImage.

[84]  Stefan Brodoehl,et al.  Time Course of Cortical Plasticity After Facial Nerve Palsy , 2012, Neurorehabilitation and neural repair.

[85]  Anthony Peduto,et al.  Duration of posttraumatic stress disorder predicts hippocampal grey matter loss , 2009, Neuroreport.

[86]  I. Olson,et al.  The Enigmatic temporal pole: a review of findings on social and emotional processing. , 2007, Brain : a journal of neurology.

[87]  J. Halámek,et al.  Executive functions processed in the frontal and lateral temporal cortices: Intracerebral study , 2007, Clinical Neurophysiology.

[88]  E. Bora,et al.  Neurobiology of human affiliative behaviour: implications for psychiatric disorders , 2009, Current Opinion in Psychiatry.

[89]  Grethe Jeff,et al.  The Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) , 2010 .

[90]  David Silbersweig,et al.  Neuroimaging of frontal–limbic dysfunction in schizophrenia and epilepsy-related psychosis: Toward a convergent neurobiology , 2012, Epilepsy & Behavior.

[91]  C. Schönfeldt-Lecuona,et al.  Delusional infestation: Neural correlates and antipsychotic therapy investigated by multimodal neuroimaging , 2010, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[92]  Michael J Vitacco,et al.  Neurobiology of empathy and callousness: implications for the development of antisocial behavior. , 2009, Behavioral sciences & the law.

[93]  M. Bohus,et al.  A voxel-based morphometric MRI study in female patients with borderline personality disorder , 2003, NeuroImage.

[94]  B. J. Casey,et al.  Imaging the developing brain: what have we learned about cognitive development? , 2005, Trends in Cognitive Sciences.

[95]  Karsten Specht,et al.  Mapping of temporal and parietal cortex in progressive nonfluent aphasia and Alzheimer's disease using chemical shift imaging, voxel-based morphometry and positron emission tomography , 2005, Psychiatry Research: Neuroimaging.

[96]  Massimo Filippi,et al.  Brain networks in posterior cortical atrophy: A single case tractography study and literature review , 2012, Cortex.

[97]  S. Malobabić,et al.  Morphological variability of the subcallosal area of man , 2011, Surgical and Radiologic Anatomy.

[98]  Norbert Schuff,et al.  Patterns of cerebral atrophy in primary progressive aphasia. , 2002, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[99]  Jorge Moll,et al.  Psychopathy as a disorder of the moral brain: Fronto-temporo-limbic grey matter reductions demonstrated by voxel-based morphometry , 2008, NeuroImage.

[100]  Kerry J Ressler,et al.  The neurobiology of anxiety disorders: brain imaging, genetics, and psychoneuroendocrinology. , 2010, Clinics in laboratory medicine.